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- W3216887522 abstract "In this paper we propose a Simultaneous Localization and Mapping (SLAM) algorithm for a mobile robot measuring the phase of the signal backscattered by a set of passive UHF-RFID tags, deployed in unknown position on the ceiling of the environment. The solution is based on a two level architecture. On a first (slave) level, a set of Multi-Hypothesis Extended Kalman Filters (MHEKF), one for each tag, estimates the range and the bearing of the tag with respect to the robot. On a second (master) level, the range and the bearing information of the responding tags is used in an EKF-SLAM algorithm which solves the SLAM problem. The proposed approach is more robust and computationally efficient with respect to other approaches available in the literature." @default.
- W3216887522 created "2021-12-06" @default.
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- W3216887522 date "2021-10-06" @default.
- W3216887522 modified "2023-09-26" @default.
- W3216887522 title "A SLAM algorithm based on range and bearing estimation of passive UHF-RFID tags" @default.
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- W3216887522 doi "https://doi.org/10.1109/rfid-ta53372.2021.9617420" @default.
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